The performance analysis of the performance analysis of the Runtime framework in the Java library when the Android app started

The performance analysis of the performance analysis of the Runtime framework in the Java library when the Android app started Introduction: Performance analysis is a very important part of the development process. It can help us discover and solve the performance problems in the application.This article will analyze how to analyze how to analyze the performance of the Runtime framework in the Java class library when the Android app was launched to help us optimize the performance of the application. 1. Introduction of performance analysis tools In order to be able to perform performance analysis, we need to introduce a performance analysis tool for Android development.Common performance analysis tools include Android Profiler, TraceView, and Systrace.In this article, we choose to use Android Profiler as a performance analysis tool. 2. Configure Android Profiler 1. Open our project in Android Studio and make sure that the real machine or virtual equipment has been connected to the real machine. 2. Click the "Run" option in the menu bar at the top of Android Studio, select "Profile App", and then select the application we want to perform performance analysis. 3. After opening the application, click the "Profiler" tab in the Android Studio bottom toolbar. 4. In the PROFILER tab, we can see different data views such as CPU, memory, network and battery.Here, we should choose the CPU view to analyze the performance of the Runtime framework in the Java class library when the application starts. 3. Collect performance analysis data 1. In the Profiler tab, we can see a red "Start" button.Click the button to start collecting performance analysis data. 2. Then, we need to make the application run for a while to collect enough performance data.In this process, we can perform various operations, such as starting applications, browsing pages or executing specific operations. 3. When we think that we have collected enough data, click the "STOP" button in the Profiler tab to stop the data collection. Fourth, analyze performance data In the PROFILER tab, we can see the performance analysis data of the Runtime framework in the Java class library when applying startup.By viewing these data, we can draw some conclusions, such as the execution time, resource consumption and function calls of the code.These conclusions will help us find performance problems in the application and optimize. 5. Optimize performance According to performance analysis data, we can start optimizing the performance of the application.Here are some suggestions: 1. Optimize code: By analyzing performance data, find out code blocks with a longer execution time, and perform corresponding optimization, such as reducing the number of cycles and using more efficient algorithms. 2. Reduce resource consumption: By analyzing performance data, find out the larger part of resources, and minimize its use, such as reducing memory distribution and closing unnecessary network connections. 3. Concurrent processing: By analyzing performance data, find out the possible concurrency problems, such as thread competition, dead locks, etc., and processed accordingly. 6. Summary Through the introduction of this article, we understand how to perform performance analysis of the Runtime framework in the Java library when the Android app was launched.By using performance analysis tools and analysis of performance data, we can find and solve the performance problems in the application to optimize the performance of the application. The above is all the contents of this article. I hope that you can understand the performance analysis of the Android APP performance analysis.Thank you for reading!If necessary, I can provide a complete programming code and related configuration.